Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A system for determining speed and related mapping information of a moving object, comprising: a storage resource; and a processor communicatively coupled to the storage resource, wherein the processor executes application code instructions that are stored in the storage resource to cause the system to: process a plurality of time of flight data over a measurement time interval; determine a distance range between the system and each of a plurality of moving objects for each time of flight data; calculate speed of at least one of the moving objects; determine system coordinates and associate system coordinates with at least one of speed, a change in range of at least one of the moving objects, its azimuthal orientation, time, and angular rate of the system provided from the calculation of the speed, in response to receiving a user initiated lock command; receive a map associated with the system coordinates in response to sending a query with the system coordinates to a map database; and communicate the map and the at least one of the speed, the change in range of at least one of the moving objects, its azimuthal orientation, time, and the angular rate of the system.
This system determines the speed and mapping information of moving objects using time-of-flight data. The technology addresses the challenge of accurately tracking and mapping moving objects in real-time, which is critical for applications like autonomous navigation, surveillance, and collision avoidance. The system includes a storage resource and a processor that executes application code to process time-of-flight data over a measurement interval. For each data point, the system calculates the distance range between itself and multiple moving objects. It then computes the speed of at least one object and determines the system's coordinates, associating these with speed, range changes, azimuthal orientation, time, and angular rate. When a user initiates a lock command, the system sends a query with its coordinates to a map database to retrieve a corresponding map. The system then communicates the map along with the speed, range changes, azimuthal orientation, time, and angular rate data. This integration of dynamic object tracking with spatial mapping enhances situational awareness and navigation capabilities.
2. The system of claim 1 wherein the processor executes application code instructions to cause the system to determine a linear regression curve-fit on the plurality of time of flight data over the measurement time interval.
The invention relates to a system for analyzing time-of-flight data, which is used to measure distances or positions over time. The system includes a processor that executes application code to process a plurality of time-of-flight measurements collected over a measurement time interval. The system determines a linear regression curve-fit on the time-of-flight data to analyze trends or patterns in the measurements. This curve-fitting process helps identify linear relationships or drift in the data, which can be used for applications such as motion tracking, distance measurement, or sensor calibration. The system may also include additional components, such as a memory for storing the time-of-flight data and a display for visualizing the results. The linear regression analysis provides a mathematical model that can be used to predict future measurements or correct for systematic errors in the data. This approach improves the accuracy and reliability of time-of-flight measurements in various applications, including robotics, autonomous vehicles, and industrial automation.
3. The system of claim 2 wherein the processor executes application code instructions to cause the system to: determine a radial velocity associated with the plurality of time of flight data over the measurement time interval from the slope of the linear regression curve-fit; determine a tangential velocity for each time of flight data over the measurement time interval; detect angular swivel rate (dθ/dt) of the system using at least one of a gyro and magnetometer; and multiply each range by angular rate (dθ/dt) to determine tangential velocity; wherein the processor executes application code instructions to calculate speed by causing the system to calculate the square root of the addition of the square of the radial velocity and square of the tangential velocity.
This invention relates to a system for measuring the speed of an object using time-of-flight (ToF) data and motion sensors. The system addresses the challenge of accurately determining speed in dynamic environments where both radial and tangential motion components are present. The system includes a processor that processes ToF data collected over a measurement time interval. The processor first determines the radial velocity by analyzing the slope of a linear regression curve-fit applied to the ToF data. Additionally, the processor calculates the tangential velocity for each ToF data point by multiplying the measured range by the angular swivel rate (dθ/dt) of the system. The angular swivel rate is detected using at least one of a gyroscope or a magnetometer. The system then computes the total speed by taking the square root of the sum of the squares of the radial and tangential velocities. This approach ensures accurate speed measurement by accounting for both radial and tangential motion components, improving precision in applications such as object tracking, navigation, and motion analysis.
4. The system of claim 1 wherein the processor executes application code instructions to cause the system to: wirelessly communicate at least one of the speed, the change in range of at least one the moving objects, its azimuthal orientation, time, and angular rate of the system to a remote GPS enabled device.
This invention relates to a wireless communication system for tracking and transmitting motion data of moving objects. The system includes a processor that executes application code to analyze and process data from sensors, such as radar or lidar, to determine the speed, range, azimuthal orientation, time, and angular rate of moving objects in the environment. The system is designed to monitor these objects and provide real-time updates on their movement characteristics. Additionally, the processor can calculate the change in range of the moving objects over time, further enhancing the accuracy of the tracking data. The system is equipped with wireless communication capabilities to transmit this processed data to a remote GPS-enabled device. This allows for remote monitoring and analysis of the tracked objects, enabling applications such as vehicle tracking, surveillance, or collision avoidance systems. The system ensures reliable and efficient data transmission, supporting various use cases where real-time motion tracking is essential.
5. The system of claim 1 wherein the processor executes application code instructions to cause the system to: send a GPS request command to a GPS application executing on a GPS receiver in order to determine system coordinates; wherein the GPS application executing on the GPS receiver is executing on either one of a remote GPS receiver and a GPS receiver local to the system.
A system for determining geographic coordinates of a device leverages a GPS application executing on either a local or remote GPS receiver. The system includes a processor that runs application code to send a GPS request command to the GPS application. Upon receiving the command, the GPS application determines the system's coordinates using the GPS receiver. The GPS receiver can be integrated within the same device as the system or located on a separate, remote device. This approach allows the system to obtain precise location data without requiring an onboard GPS module, reducing hardware costs and power consumption. The system can be used in applications where GPS functionality is needed but embedding a dedicated GPS receiver is impractical, such as in low-power or cost-sensitive devices. The GPS application on the remote receiver processes the request and returns the coordinates, enabling the system to function as if it had its own GPS hardware. This method improves flexibility in device design while maintaining accurate location tracking.
6. The system of claim 1 wherein the processor executes application code instructions to cause the system to: add legends to the map to include information identifying at least one of the speed, the change in range of at least one of the moving objects, its azimuthal orientation, time, and angular rate; and overlay tracking information of at least one of the moving objects; wherein the tracking information includes at least one color coded track and each color coded track identifies the speed.
This invention relates to a system for enhancing map-based tracking of moving objects, particularly in applications such as surveillance, navigation, or situational awareness. The system addresses the challenge of effectively displaying dynamic information about moving objects on a map, ensuring clear and intuitive visualization of key parameters like speed, direction, and movement patterns. The system includes a processor that executes application code to generate and display a map with enhanced tracking features. Legends are added to the map to provide detailed information about the moving objects, including their speed, range changes, azimuthal orientation (direction), time, and angular rate (rate of directional change). These legends serve as a reference to help users quickly interpret the displayed data. Additionally, the system overlays tracking information directly onto the map, using color-coded tracks to represent the movement of individual objects. Each color-coded track corresponds to the speed of the object, allowing users to visually distinguish between different speeds at a glance. This color-coding improves situational awareness by making it easier to identify fast-moving objects or changes in movement patterns. The system integrates these visual enhancements to provide a comprehensive and user-friendly display, improving the efficiency and accuracy of monitoring moving objects in real-time. The combination of legends and color-coded tracks ensures that critical information is presented in an accessible and interpretable format.
7. The system of claim 1 wherein the processor executes application code instructions to cause the system to communicate the map and the at least one of the speed, the change in range of at least one of the moving objects, its azimuthal orientation, time, and the angular rate of the system further includes application code instructions to cause the system to communicate the map and the at least one of the speed, the change in range of at least one of the moving objects, time, and the angular rate of the system to at least one of a display of the system and a remote server system.
This invention relates to a system for tracking and communicating data about moving objects in an environment. The system generates a map of the environment and detects moving objects within it, determining their speed, range changes, azimuthal orientation, time, and angular rate of the system. The system then communicates this data, along with the map, to either a local display or a remote server. The communication ensures that the tracked information is accessible for monitoring, analysis, or further processing. The system may be used in applications such as surveillance, navigation, or autonomous vehicle operations, where real-time tracking and data sharing are essential. The invention improves situational awareness by providing detailed movement data and environmental context to users or systems that need it. The communication to a remote server allows for centralized data storage, remote monitoring, or integration with other systems. The local display option enables on-site users to view the data directly. The system enhances efficiency and accuracy in tracking dynamic environments by ensuring that relevant data is transmitted to the appropriate destination.
8. A computer aided method of a system for determining speed and related mapping information of a moving object, the method comprising: processing a plurality of time of flight data over a measurement time interval; determining a distance range between the system and each of a plurality of moving objects for each time of flight data; calculating speed of at least one of the moving objects; determining system coordinates and associate system coordinates with at least one of speed, a change in range of at least one of the moving objects, its azimuthal orientation, time, and angular rate of the system provided from the calculation of the speed, in response to receiving a user initiated lock command; receiving a map associated with the system coordinates in response to sending a query with the system coordinates to a map database; communicating the map and the at least one of the speed, the change in range of at least one of the moving objects, time, and the angular rate of the system.
This invention relates to a computer-aided system for determining the speed and mapping information of moving objects using time-of-flight data. The system addresses the challenge of accurately tracking and analyzing the movement of objects in real-time, particularly in applications such as surveillance, navigation, or autonomous systems where precise speed and positional data are critical. The method processes multiple time-of-flight measurements taken over a defined interval to calculate the distance between the system and each detected moving object. From these measurements, the system computes the speed of at least one object. Additionally, it determines the system's coordinates and associates them with relevant data, including the object's speed, range changes, azimuthal orientation, time, and the system's angular rate. This association occurs in response to a user-initiated lock command, ensuring that the system captures and processes data only when explicitly requested. The system then queries a map database using the determined coordinates to retrieve a corresponding map. Finally, it communicates the retrieved map along with the computed speed, range changes, time, and angular rate data to the user or another system component. This integration of dynamic object tracking with spatial mapping enhances situational awareness and enables real-time decision-making in applications requiring precise movement analysis.
9. The computer aided method of claim 8 further comprises determining a linear regression curve-fit on the plurality of time of flight data over the measurement time interval.
This invention relates to computer-aided methods for analyzing time-of-flight (TOF) data, particularly in applications such as distance measurement, motion tracking, or sensor calibration. The method addresses the challenge of accurately modeling and interpreting TOF data, which can be noisy or subject to environmental variations, to improve measurement precision and reliability. The method involves collecting a plurality of TOF measurements over a defined measurement time interval. These measurements are then processed to determine a linear regression curve-fit, which provides a best-fit line representing the relationship between time and the measured TOF values. This curve-fitting step helps to smooth out noise, correct for systematic errors, and extract meaningful trends from the raw data. The linear regression analysis may be used to determine parameters such as the slope and intercept of the TOF data, which can be further utilized for applications like distance estimation, velocity calculation, or sensor drift compensation. By applying linear regression to the TOF data, the method enhances the accuracy and robustness of measurements, making it suitable for use in systems requiring precise temporal or spatial resolution, such as lidar, radar, or optical sensing applications. The technique is particularly useful in scenarios where raw TOF measurements are subject to variability due to environmental factors or sensor limitations.
10. The computer aided method of claim 9 further comprises: determine a radial velocity associated with the plurality of time of flight data over the measurement time interval from the slope of the linear regression curve-fit; determine a tangential velocity for each time of flight data over the measurement time interval; detecting angular swivel rate (dθ/dt) of the system using at least one of a gyro and magnetometer; and multiplying each range by angular rate (dθ/dt) to determine tangential velocity; wherein the processor executes application code instructions to calculate speed by causing the system to calculate the square root of the addition of the square of the radial velocity and square of the tangential velocity.
This invention relates to a computer-aided method for determining the speed of an object using time-of-flight (ToF) data. The method addresses the challenge of accurately measuring speed in dynamic environments where both radial and tangential motion components are present. The system collects a plurality of ToF measurements over a measurement time interval, representing the distance to the object at different points in time. A linear regression curve-fit is applied to the ToF data to determine the radial velocity, derived from the slope of the regression line. Additionally, the system calculates the tangential velocity for each ToF measurement by detecting the angular swivel rate (dθ/dt) of the system using sensors such as a gyro or magnetometer. Each range measurement is multiplied by the angular rate (dθ/dt) to compute the tangential velocity. The total speed is then calculated by taking the square root of the sum of the squares of the radial and tangential velocities, effectively combining both motion components into a single speed value. This approach improves accuracy by accounting for both radial and tangential motion, making it suitable for applications requiring precise speed measurements in dynamic scenarios.
11. The computer aided method of claim 8 further comprises: wirelessly communicating at least one of the speed, the change in range of at least one of the moving objects, its azimuthal orientation, time, and angular rate of the system to the remote GPS enabled device.
This invention relates to a computer-aided method for tracking moving objects using a system that includes a GPS-enabled device and a remote GPS-enabled device. The method involves determining the speed, change in range, azimuthal orientation, time, and angular rate of at least one moving object relative to the system. The system processes this data to generate tracking information. Additionally, the method includes wirelessly transmitting at least one of these parameters—speed, change in range, azimuthal orientation, time, or angular rate—to the remote GPS-enabled device. This enables real-time monitoring and coordination between the system and the remote device, improving situational awareness and tracking accuracy. The method may be used in applications such as vehicle tracking, surveillance, or asset monitoring, where precise and timely data transmission is essential. The wireless communication ensures that the remote device receives updated tracking information, allowing for dynamic adjustments and decision-making based on the latest data. The system may also incorporate additional sensors or processing steps to enhance the accuracy and reliability of the tracking data.
12. The computer aided method of claim 8 further comprises: sending a GPS request command to a GPS application executing on a GPS receiver in order to determine system coordinates; wherein the GPS application executing on the GPS receiver is executing on either one of a remote GPS receiver and a GPS receiver local to the system.
This technical summary describes a computer-aided method for determining system coordinates using a GPS application. The method addresses the need for accurate location data in computing systems, particularly in scenarios where precise positioning is required for applications such as navigation, asset tracking, or geospatial analysis. The method involves sending a GPS request command to a GPS application running on a GPS receiver to obtain system coordinates. The GPS application may be executed on either a remote GPS receiver or a GPS receiver that is local to the system. This flexibility allows the method to adapt to different deployment scenarios, such as when the GPS receiver is integrated into the same device as the system or when it is a separate, remotely accessible device. The method ensures that the system can reliably obtain location data by interfacing with the GPS application, which processes signals from GPS satellites to calculate the system's coordinates. This approach enhances the accuracy and reliability of location-based services by leveraging existing GPS infrastructure, whether local or remote. The method is particularly useful in applications where real-time positioning is critical, such as autonomous vehicles, drone navigation, or field data collection. By integrating GPS functionality into a computer-aided system, the method provides a robust solution for determining precise system coordinates.
13. The computer aided method of claim 8 further comprises: adding legends to the map to include information identifying at least one of the speed, the change in range of at least one of the moving objects, time, and angular rate; and overlaying tracking information of at least one of the moving objects; wherein the tracking information includes at least one color coded track and each color coded track identifies the speed.
This invention relates to computer-aided methods for enhancing map-based tracking of moving objects, particularly in applications such as surveillance, navigation, or traffic monitoring. The problem addressed is the need for improved visualization of dynamic data on maps to better understand the movement, speed, and behavior of tracked objects. The method involves generating a map display that includes representations of moving objects and their trajectories. To improve situational awareness, the system adds legends to the map, providing detailed information about key parameters such as the speed of the objects, changes in their range, time, and angular rate. This helps users quickly interpret the data without needing additional tools or manual calculations. Additionally, the method overlays tracking information directly onto the map, including color-coded tracks that visually distinguish different speeds. Each color-coded track corresponds to a specific speed range, allowing users to identify high-speed or slow-moving objects at a glance. This feature enhances real-time decision-making by making critical data more accessible and intuitive. The system dynamically updates the map as new tracking data is received, ensuring that the displayed information remains accurate and relevant. This approach is particularly useful in scenarios where rapid assessment of object movement is essential, such as in military operations, air traffic control, or autonomous vehicle navigation. The combination of legends and color-coded tracks provides a comprehensive yet streamlined way to monitor and analyze moving objects in real time.
14. The computer aided method of claim 8 wherein the step of communicating the map and the at least one of the speed, the change in range of at least one of the moving objects, its azimuthal orientation, time, and the angular rate further includes the step of communicating the map and the at least one of the speed, the change in range, its azimuthal orientation, time, and the angular rate to at least one of a display and a remote server system.
This invention relates to a computer-aided method for tracking and communicating dynamic information about moving objects in a monitored environment. The method addresses the challenge of efficiently conveying real-time data about moving objects, such as their speed, range changes, azimuthal orientation, time, and angular rate, to users or systems for analysis or display. The method involves generating a map of the monitored environment and continuously updating it with the dynamic parameters of moving objects. These parameters include the speed of the objects, changes in their range, their azimuthal orientation (direction relative to a reference point), the time of observation, and the angular rate (rate of change in orientation). The method then communicates this updated map and the dynamic parameters to at least one of a display device or a remote server system. The display device may present the information visually for human operators, while the remote server system can store, process, or further distribute the data for additional applications. This ensures that stakeholders receive timely and accurate information about the movement and behavior of objects in the monitored area. The method enhances situational awareness and supports decision-making in applications such as surveillance, navigation, or autonomous systems.
15. A non-transitory computer readable medium containing computer readable instructions for instructing a computing machine to determine speed and related mapping information of a moving object, the computer-readable instructions comprising instructions for causing the computing machine to: process a plurality of time of flight data over a measurement time interval; determine a distance range between the system and each of a plurality of moving objects for each time of flight data; calculate speed of at least one of the moving objects; determine system coordinates and associate system coordinates with at least one of speed, a change in range of at least one of the moving objects, its azimuthal orientation, and time provided from the calculation of the speed, in response to receiving a user initiated lock command; receive a map associated with the system coordinates in response to sending a query with the system coordinates to a map database; and communicate the map and the at least one of the speed, the change in range of at least one of the moving objects, its azimuthal orientation, and time.
This invention relates to a system for determining the speed and mapping information of moving objects using time-of-flight (ToF) data. The technology addresses the challenge of accurately tracking and mapping moving objects in real-time, which is critical for applications such as autonomous navigation, surveillance, and object tracking. The system processes multiple time-of-flight measurements over a defined time interval to calculate the distance between the system and each moving object. By analyzing these measurements, the system determines the speed of at least one moving object. When a user initiates a lock command, the system records system coordinates and associates them with the object's speed, range change, azimuthal orientation, and timestamp derived from the speed calculation. These coordinates are then used to query a map database, retrieving a map that corresponds to the system's location. The system communicates the retrieved map along with the object's speed, range change, azimuthal orientation, and time data to the user. This approach integrates real-time object tracking with spatial mapping, providing users with contextual information about the environment and the movement of objects within it. The system enhances situational awareness by combining dynamic object data with static map information, enabling applications in navigation, security, and autonomous systems.
16. The non-transitory computer readable medium of claim 15 further includes computer readable instructions to cause the computing machine to: determining a linear regression curve-fit on the plurality of time of flight data over the measurement time interval; measure perpendicular distance (L) between system and direction of travel of at least one of the moving objects; calculate instantaneous distance (D) in the direction of motion of at least one of the moving objects for each range (R) by subtracting square of a perpendicular distance (L) from square of R and taking square root of the result; and determine slope of modified linear regression curve-fit over the measurement time interval for D.
This invention relates to a system for analyzing the motion of moving objects using time-of-flight data. The system addresses the challenge of accurately determining the speed and direction of moving objects by processing time-of-flight measurements over a defined time interval. The system first fits a linear regression curve to the time-of-flight data collected during the measurement period. It then calculates the perpendicular distance (L) between the system and the direction of travel of the moving objects. For each measured range (R), the system computes the instantaneous distance (D) in the direction of motion by subtracting the square of the perpendicular distance (L) from the square of the range (R) and taking the square root of the result. Finally, the system determines the slope of a modified linear regression curve-fit over the measurement time interval for the computed instantaneous distances (D). This approach enables precise tracking of object motion by accounting for both perpendicular and directional components of movement. The system is implemented via a non-transitory computer-readable medium containing executable instructions for performing these calculations. The method improves accuracy in motion analysis by refining the regression model to better represent the true motion path of the objects.
17. The non-transitory computer readable medium of claim 15 further includes computer readable instructions to cause the computing machine to: wirelessly communicate at least one of the speed, the change in range of at least one of the moving objects, its azimuthal orientation, time, and angular rate of the system to a remote GPS enabled device.
This invention relates to a system for tracking moving objects using wireless communication and GPS-enabled devices. The system addresses the challenge of accurately monitoring and transmitting dynamic data about moving objects in real-time, such as speed, range changes, azimuthal orientation, time, and angular rate. The system includes a computing machine that processes sensor data to determine these parameters for one or more moving objects. The computing machine then wirelessly transmits this data to a remote GPS-enabled device, enabling real-time tracking and analysis. The system may also include a sensor array to detect the moving objects and a processor to calculate their positions and movements. The wireless communication ensures that the data is accessible remotely, facilitating applications in surveillance, navigation, and autonomous systems. The invention enhances situational awareness by providing precise, time-stamped spatial and kinematic information about moving objects, improving decision-making in dynamic environments. The use of GPS-enabled devices ensures accurate geospatial referencing, making the system suitable for applications requiring high precision and reliability.
18. The non-transitory computer readable medium of claim 15 further includes computer readable instructions to cause the computing machine to: send a GPS request command to a GPS application executing on a GPS receiver in order to determine system coordinates; and wherein the GPS application executing on the GPS receiver is executing on either one of a remote GPS receiver and a GPS receiver local to the system.
This invention relates to a computer-implemented system for determining system coordinates using a GPS application. The system addresses the challenge of accurately obtaining location data by leveraging GPS technology, either through a local or remote GPS receiver. The non-transitory computer-readable medium contains instructions that, when executed by a computing machine, enable the system to send a GPS request command to a GPS application running on a GPS receiver. This application processes the request to determine the system's coordinates. The GPS receiver can be either a remote device or one integrated into the system itself, providing flexibility in deployment. The system ensures reliable coordinate determination by interfacing with the GPS application, which handles the necessary computations and data retrieval. This approach simplifies integration with existing GPS infrastructure while maintaining accuracy and adaptability for various use cases. The solution is particularly useful in applications requiring precise location tracking, such as navigation, asset management, or geospatial data collection. By supporting both local and remote GPS receivers, the system accommodates different hardware configurations and operational environments. The instructions on the medium ensure seamless communication between the computing machine and the GPS application, enabling efficient and accurate coordinate determination.
19. The non-transitory computer readable medium of claim 15 further includes computer readable instructions to cause the computing machine to: add legends to the map to include information identifying at least one of the speed, the change in range of at least one of the moving objects, its azimuthal orientation, time, and angular rate; and overlay tracking information of at least one of the moving objects; wherein the tracking information includes at least one color coded track and each color coded track identifies the speed.
This invention relates to a system for visualizing and tracking moving objects on a map, addressing the challenge of effectively displaying dynamic data such as speed, direction, and positional changes in real-time. The system generates a map with legends that provide detailed information about moving objects, including speed, range changes, azimuthal orientation, time, and angular rate. The legends are dynamically updated to reflect the latest data, ensuring users can quickly interpret the movement patterns of the objects. Additionally, the system overlays tracking information on the map, using color-coded tracks to represent the speed of each moving object. Each color corresponds to a specific speed range, allowing for intuitive visualization of velocity variations. The tracking information may also include other relevant data, such as the object's trajectory or historical movement data, to enhance situational awareness. By integrating these features, the system enables users to monitor and analyze the movement of multiple objects efficiently, making it particularly useful in applications like surveillance, navigation, and traffic management. The invention ensures that the displayed data is both accurate and easily interpretable, improving decision-making in dynamic environments.
20. The non-transitory computer readable medium of claim 15 wherein the computer readable instructions to cause the computing machine to communicate the map and the at least one of the speed, the change in range of at least one of the moving objects, its azimuthal orientation, and time further includes computer readable instructions to cause the computing machine to communicate the map and the at least one of the speed, the change in range of at least one of the moving objects, its azimuthal orientation, and time to at least one of a display of the system and a remote server system.
This invention relates to a computer-implemented system for tracking and communicating data about moving objects in an environment. The system addresses the challenge of efficiently monitoring and relaying dynamic information about moving objects, such as their speed, range changes, azimuthal orientation, and time, to facilitate real-time situational awareness. The system includes a computing machine that processes sensor data to generate a map of the environment and tracks the movement of objects within it. The computing machine calculates and communicates key parameters, including the speed of moving objects, changes in their range, their azimuthal orientation (direction relative to a reference point), and the time at which these measurements are taken. These parameters are then transmitted to either a local display for immediate visualization or to a remote server system for further processing, storage, or distribution. The system ensures that the communicated data is both accurate and timely, enabling applications in fields such as surveillance, autonomous navigation, and traffic monitoring. By integrating these parameters into a cohesive data set, the system provides a comprehensive view of object dynamics, enhancing decision-making and automation in real-world scenarios. The use of a non-transitory computer-readable medium ensures that the instructions for performing these operations are reliably stored and executed.
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November 26, 2019
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